A novel processing-in-storage (PRinS) architecture based on Resistive CAM (ReCAM) is described and proposed for Smith-Waterman (S-W) sequence alignment. The ReCAM massively-parallel compare operation finds matching base-pairs in a fixed number of cycles, regardless of sequence length. The ReCAM PRinS S-W algorithm is simulated and compared to FPGA, Xeon Phi and GPU-based implementations, showing at least 4.7x higher throughput and at least 15x lower power dissipation.
翻译:为Smith-Waterman(S-W)序列对齐,描述并提出了一个基于耐力 CAM(RECAM)的新颖的储存中处理结构(PRinS),该结构为Smith-Waterman(S-W)序列对齐。 ReCAM大规模平行比较操作在固定数量的周期中找到匹配的基面,而不管序列长度如何。 ReCAM PlinS S-W算法是模拟的,与FPGA、Xeon Phi和GPU基实施法相比,显示至少4.7x更高的吞吐量和至少15x较低的电耗。